Patents by Inventor Dimpy Pathria

Dimpy Pathria has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Self-learning real-time prioritization of fraud control actions
    Patent number: 7457401
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Grant
    Filed: November 27, 2006
    Date of Patent: November 25, 2008
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi
  • Self-Learning Real-Time Priorization of Fraud Control Actions
    Publication number: 20070124246
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Application
    Filed: November 27, 2006
    Publication date: May 31, 2007
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi
  • Authentication ID interview method and apparatus
    Publication number: 20070078668
    Abstract: A method and apparatus are disclosed for determining whether a responder is who he or she claims to be, by evaluating responses to a series of questions drawn from various data providers, e.g. real estate data about the responder's house; family members from other publicly available sources; etc. The invention also comprises a novel empirically-derived scoring component that is used to evaluate the likelihood that correct/incorrect responses to the multiple choice questions is fraud, i.e. an impersonator.
    Type: Application
    Filed: September 30, 2005
    Publication date: April 5, 2007
    Inventors: Dimpy Pathria, John Davison, Robert Warner, James Bishop
  • Self-learning real-time prioritization of telecommunication fraud control actions
    Patent number: 7158622
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Grant
    Filed: October 20, 2004
    Date of Patent: January 2, 2007
    Assignee: Fair Isaac Corporation
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi
  • Self-learning real-time prioritization of telecommunication fraud control actions
    Publication number: 20050084083
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Application
    Filed: October 20, 2004
    Publication date: April 21, 2005
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi
  • Self-learning real-time prioritization of telecommunication fraud control actions
    Patent number: 6850606
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Grant
    Filed: January 17, 2003
    Date of Patent: February 1, 2005
    Assignee: Fair Isaac Corporation
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi
  • Self-learning real-time prioritization of telecommunication fraud control actions
    Publication number: 20030147516
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Application
    Filed: January 17, 2003
    Publication date: August 7, 2003
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi
  • Self-learning real-time prioritization of telecommunication fraud control actions
    Patent number: 6597775
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Grant
    Filed: September 25, 2001
    Date of Patent: July 22, 2003
    Assignee: Fair Isaac Corporation
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi
  • Self-learning real-time prioritization of telecommunication fraud control actions
    Publication number: 20020114435
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Application
    Filed: September 25, 2001
    Publication date: August 22, 2002
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi